NEURAL COMPUTATION 14:7

Terry Sejnowski terry at salk.edu
Fri May 31 20:19:39 EDT 2002


Neural Computation - Contents - Volume 14, Number 7 - July 1, 2002

ARTICLE
A Monte Carlo EM Approach for Partially Observable Diffusion Processes:
Theory and Applications to Neural Networks
Javier R. Movellan, Paul Mineiro, R. J. Williams

NOTES
Are Visual Cortex Maps Optimized For Coverage?
Miguel A. Carreira-Perpinan and Geoffrey J. Goodhill

Kernel-Based  Topographic Map Formation by Local Density Modeling
Marc M. Van Hulle

LETTERS
A Simple Model of Long-Term Spike Train Regularization
Relly Brandman and Mark E. Nelson

Spatiotemporal Spike Encoding of a Continuous External Signal
Naoki Masuda and Kazuyuki Aihara

Attractor Reliability Reveals Deterministic Structure in Neuronal Spike Trains
P.H.E. Tiesinga, J.-M. Fellous and Terrence J. Sejnowski

Traveling Waves of Excitation in Neural Field Models:  Equivalence of Rate
Descriptions and Integrate-and-Fire Dynamics
Daniel Cremers and Andreas V.M. Herz
 
Attentional Recruitment of Inter-Areal Recurrent Networks for Selective
Gain Control
Richard H. R. Hahnloser, Rodney J. Douglas, and Klaus Hepp
 
CCCP Algorithms to Minimize the Bethe and Kikuchi Free Energies:
Convergent Alternatives to Belief Propagation
A. L. Yuille
 
Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent
Nicol N. Schraudolph
 
Representation and Extrapolation in Multilayer Perceptrons
Antony Browne
 
Using Noise to Compute Error Surfaces in Connectionist Networks:  A Novel
Means of Reducing Catastrophic Forgetting
Robert French and Nick Chater
 
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